Standout Papers

Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems 2020 2026 2022 2024241
  1. Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems (2020)
    Moming Duan, Duo Liu et al. IEEE Transactions on Parallel and Distributed Systems

Immediate Impact

58 standout
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Citing Papers

Edge deep learning in computer vision and medical diagnostics: a comprehensive survey
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A comprehensive and systematic literature review on intrusion detection systems in the internet of medical things: current status, challenges, and opportunities
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2 intermediate papers

Works of Yujuan Tan being referenced

Federated learning with workload-aware client scheduling in heterogeneous systems
2022
Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems
2020 Standout

Author Peers

Author Last Decade Papers Cites
Yujuan Tan 210 27 351 133 47 499
Lewis Tseng 250 7 177 196 50 462
Wentai Wu 284 16 167 238 35 442
Pedro Miguel Sánchez Sánchez 188 9 272 117 30 448
Konstantin Igorevich Kostromitin 196 9 154 96 34 478
Balaji Palanisamy 250 9 185 217 34 447
Gérôme Bovet 179 8 293 80 44 454
Ivan Beschastnikh 155 7 222 259 32 423
Lionel Brunie 128 4 228 120 37 413
Yu Guo 135 5 317 285 41 469
Li Zhang 132 73 227 115 38 432

All Works

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2026